#!pip install shap
#!pip install scikit-learn lightgbm xgboost
Requirement already satisfied: scikit-learn in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (1.4.2) Requirement already satisfied: lightgbm in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (4.3.0) Collecting xgboost Downloading xgboost-2.0.3-py3-none-macosx_12_0_arm64.whl.metadata (2.0 kB) Requirement already satisfied: numpy>=1.19.5 in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (from scikit-learn) (1.24.3) Requirement already satisfied: scipy>=1.6.0 in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (from scikit-learn) (1.11.3) Requirement already satisfied: joblib>=1.2.0 in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (from scikit-learn) (1.2.0) Requirement already satisfied: threadpoolctl>=2.0.0 in /Users/rociobenitezgarcia/anaconda3/lib/python3.11/site-packages (from scikit-learn) (2.2.0) Downloading xgboost-2.0.3-py3-none-macosx_12_0_arm64.whl (1.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.9/1.9 MB 27.9 MB/s eta 0:00:00m eta 0:00:01[36m0:00:01 Installing collected packages: xgboost Successfully installed xgboost-2.0.3
# Importaciones de librerías de análisis de datos básicas.
import pandas as pd # Manipulación y análisis de datos.
import numpy as np # Soporte para vectores y matrices.
import matplotlib.pyplot as plt # Visualización de datos.
import seaborn as sns # Visualización de datos basada en matplotlib.
from scipy.stats import randint as sp_randint
# Importaciones de herramientas de Sklearn para modelado y evaluación.
from sklearn import tree
from sklearn.model_selection import train_test_split, GridSearchCV, RandomizedSearchCV, learning_curve # Herramientas para dividir datos y optimizar parámetros.
from sklearn.preprocessing import MinMaxScaler, StandardScaler # Herramientas para la codificación y escalado de características.
from sklearn.linear_model import LassoCV, Lasso, LinearRegression
from sklearn.tree import DecisionTreeRegressor # Modelo de regresión basado en árboles de decisión.
from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier, GradientBoostingRegressor, BaggingRegressor, ExtraTreesRegressor, StackingRegressor,VotingRegressor # Modelos de ensamble basados en árboles.
from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error, median_absolute_error, explained_variance_score # Métricas de evaluación para modelos de regresión.
from sklearn.compose import ColumnTransformer
from sklearn.pipeline import Pipeline
# Configuración de Pandas para mejorar la visualización en cuadernos Jupyter.
pd.set_option('display.max_rows', None) # Configurar Pandas para mostrar todas las filas
pd.set_option('display.max_columns', None) # Configurar Pandas para mostrar todas las columnas
# Añadir el directorio padre al path del sistema para permitir la importación de módulos personalizados.
import sys
sys.path.append('../src/utils')
# Importación de módulos personalizados para visualización y preprocesamiento de datos.
from utils import *
from preprocess import * # Módulo personalizado que incluye funciones específicas de preprocesamiento.
from modeling import *
from pycaret.regression import *
df = pd.read_csv('../data/processed/prediction_dataset_complete.csv', sep=';')
df.shape # Verificación
(717, 66)
df.head()
| edad | sexo | altura | peso | num calzado | articulacion | localizacion | lado | pace_walk | velocidad_walk | step rate_walk | stride length_walk | shock_walk | impact gs_walk | braking gs_walk | footstrike type_walk | pronation excursion_walk | contact ratio_walk | total force rate_walk | step length_walk | pronation excursion (mp->to)_walk | stance excursion (fs->mp)_walk | stance excursion (mp->to)_walk | m1 hipermovil | thomas psoas | thomas rf | thomas tfl | ober | arco aplanado | arco elevado | m1 dfx | m5 hipermovil | arco transverso disminuido | m1 pfx | arco transverso aumentado | hlf | hl | hr | hav | index minus | tfi | tfe | tti | tte | ober friccion | popliteo | t_hintermann | jack normal | jack no reconstruye | pronacion no disponible | 2heel raise | heel raise | fpi_total_i | fpi_total_d | tibia vara proximal | tibia vara distal | rotula divergente | rotula convergente | rotula ascendida | genu valgo | genu varo | genu recurvatum | genu flexum | lunge | imc | zona afectada | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 36 | 0 | 173 | 65.0 | 40.0 | rodilla | medial | b | 1.291600 | 5.0 | 108.456898 | 1.4267 | 3.566339 | 2.310324 | 2.610172 | 6.314815 | -11.106498 | 63.724990 | 24.952120 | 0.7133 | -14.725130 | 19.445907 | 62.315404 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 3 | 0 | 3 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | -1.0 | -1.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 21.72 | rodilla_medial_b |
| 1 | 35 | 1 | 181 | 78.0 | 44.0 | sin afectacion | no especificado | no especificado | 1.370079 | 5.0 | 114.767847 | 1.4312 | 3.119538 | 1.900867 | 2.387259 | 6.948276 | -8.176466 | 62.112399 | 30.589598 | 0.7156 | 0.962024 | 17.340533 | 55.030184 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7.0 | 7.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23.81 | sin patologia |
| 2 | 45 | 1 | 189 | 88.0 | 46.0 | sin afectacion | no especificado | no especificado | 1.371909 | 5.0 | 100.149777 | 1.6437 | 2.368494 | 1.597828 | 1.558757 | 10.680851 | -4.411249 | 64.721319 | 32.726926 | 0.8218 | 0.192496 | 8.006323 | 77.799223 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.0 | 5.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24.64 | sin patologia |
| 3 | 43 | 1 | 182 | 70.0 | 44.0 | pie | medial | d | 1.318286 | 5.0 | 103.976334 | 1.5381 | 2.667928 | 1.708754 | 1.985392 | 11.180000 | -4.351264 | 63.545858 | 28.220870 | 0.7690 | 6.506884 | 7.471882 | 81.783758 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 7.0 | 7.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 21.13 | pie-tobillo_medial_d |
| 4 | 41 | 1 | 184 | 90.0 | 43.0 | pierna | posterior | b | 1.362836 | 5.0 | 99.062660 | 1.6541 | 3.610964 | 2.665554 | 2.369300 | 7.900000 | -10.180634 | 67.074954 | 33.841236 | 0.8270 | -6.480006 | 14.944068 | 89.849386 | 0 | 0 | 3 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 3.0 | 0.0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 3 | 26.58 | pierna_posterior_b |
df = df.drop(columns=['localizacion','lado','zona afectada', 'num calzado', 'articulacion',
'm1 hipermovil','thomas psoas','thomas rf','thomas tfl','ober','arco aplanado',
'arco elevado','m1 dfx','m5 hipermovil','arco transverso disminuido','m1 pfx',
'arco transverso aumentado','hlf','hl','hr','hav','index minus','tfi','tfe','tti','tte',
'ober friccion','popliteo','t_hintermann','jack normal','jack no reconstruye',
'pronacion no disponible','2heel raise','heel raise','fpi_total_i','fpi_total_d',
'tibia vara proximal','tibia vara distal','rotula divergente','rotula convergente',
'rotula ascendida','genu valgo','genu varo','genu recurvatum','genu flexum','lunge',
'zona afectada'])
df.head()
| edad | sexo | altura | peso | pace_walk | velocidad_walk | step rate_walk | stride length_walk | shock_walk | impact gs_walk | braking gs_walk | footstrike type_walk | pronation excursion_walk | contact ratio_walk | total force rate_walk | step length_walk | pronation excursion (mp->to)_walk | stance excursion (fs->mp)_walk | stance excursion (mp->to)_walk | imc | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 36 | 0 | 173 | 65.0 | 1.291600 | 5.0 | 108.456898 | 1.4267 | 3.566339 | 2.310324 | 2.610172 | 6.314815 | -11.106498 | 63.724990 | 24.952120 | 0.7133 | -14.725130 | 19.445907 | 62.315404 | 21.72 |
| 1 | 35 | 1 | 181 | 78.0 | 1.370079 | 5.0 | 114.767847 | 1.4312 | 3.119538 | 1.900867 | 2.387259 | 6.948276 | -8.176466 | 62.112399 | 30.589598 | 0.7156 | 0.962024 | 17.340533 | 55.030184 | 23.81 |
| 2 | 45 | 1 | 189 | 88.0 | 1.371909 | 5.0 | 100.149777 | 1.6437 | 2.368494 | 1.597828 | 1.558757 | 10.680851 | -4.411249 | 64.721319 | 32.726926 | 0.8218 | 0.192496 | 8.006323 | 77.799223 | 24.64 |
| 3 | 43 | 1 | 182 | 70.0 | 1.318286 | 5.0 | 103.976334 | 1.5381 | 2.667928 | 1.708754 | 1.985392 | 11.180000 | -4.351264 | 63.545858 | 28.220870 | 0.7690 | 6.506884 | 7.471882 | 81.783758 | 21.13 |
| 4 | 41 | 1 | 184 | 90.0 | 1.362836 | 5.0 | 99.062660 | 1.6541 | 3.610964 | 2.665554 | 2.369300 | 7.900000 | -10.180634 | 67.074954 | 33.841236 | 0.8270 | -6.480006 | 14.944068 | 89.849386 | 26.58 |
df.shape
(717, 20)
df.describe()
| edad | sexo | altura | peso | pace_walk | velocidad_walk | step rate_walk | stride length_walk | shock_walk | impact gs_walk | braking gs_walk | footstrike type_walk | pronation excursion_walk | contact ratio_walk | total force rate_walk | step length_walk | pronation excursion (mp->to)_walk | stance excursion (fs->mp)_walk | stance excursion (mp->to)_walk | imc | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 | 717.000000 |
| mean | 38.979079 | 0.666667 | 173.221757 | 71.347280 | 1.349609 | 4.970432 | 111.059742 | 1.460512 | 2.319090 | 1.546282 | 1.634164 | 8.286613 | -7.339779 | 63.468706 | 22.057213 | 0.784957 | -3.694352 | 14.646706 | 69.499282 | 23.677434 |
| std | 13.567990 | 0.471734 | 8.864572 | 13.272632 | 0.143037 | 0.168766 | 6.963230 | 0.150942 | 0.869845 | 0.665171 | 0.641817 | 2.607825 | 4.995025 | 1.834326 | 7.648778 | 0.601167 | 7.460455 | 6.702769 | 9.603917 | 3.421989 |
| min | 15.000000 | 0.000000 | 148.000000 | 39.000000 | 0.083356 | 4.000000 | 85.079444 | 0.080300 | 0.749673 | 0.445394 | 0.586561 | 1.250000 | -29.314351 | 41.133361 | 5.951576 | 0.040100 | -22.855125 | -0.159270 | 32.311573 | 15.040000 |
| 25% | 29.000000 | 0.000000 | 168.000000 | 62.000000 | 1.360853 | 5.000000 | 106.965260 | 1.415500 | 1.746869 | 1.132492 | 1.209095 | 6.142857 | -9.949229 | 62.571985 | 14.923921 | 0.709000 | -8.719559 | 9.165190 | 62.860238 | 21.300000 |
| 50% | 39.000000 | 1.000000 | 173.000000 | 70.000000 | 1.370556 | 5.000000 | 110.768829 | 1.477600 | 2.085319 | 1.363766 | 1.496472 | 8.641509 | -6.237092 | 63.572288 | 21.696173 | 0.739100 | -3.900480 | 13.714370 | 70.205739 | 23.390000 |
| 75% | 48.000000 | 1.000000 | 179.000000 | 80.000000 | 1.379229 | 5.000000 | 114.542265 | 1.534200 | 2.645622 | 1.786143 | 1.887925 | 10.358491 | -3.770695 | 64.425029 | 27.909278 | 0.767700 | 1.014514 | 20.009629 | 76.505691 | 25.450000 |
| max | 80.000000 | 1.000000 | 197.000000 | 135.000000 | 2.793561 | 5.000000 | 165.522552 | 2.024550 | 8.328855 | 6.403026 | 5.236189 | 15.403509 | 22.671300 | 71.494361 | 52.164520 | 7.663500 | 19.832126 | 37.078459 | 93.933162 | 41.670000 |
plot_boxplot(df)
# df['pace_force_interaction'] = df['pace_walk'] * df['total_force_rate_walk']
X = df.drop('edad', axis=1) # Eliminar la columna objetivo del conjunto de características
y = df['edad'] # Definir el conjunto objetivo
# Dividir el conjunto de datos inicialmente en entrenamiento y test
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
print(f'Dimensiones del dataset de train: {X_train.shape} | {y_train.shape}')
print(f'Dimensiones del dataset de test: {X_test.shape} | {y_test.shape}')
# Guardamos
#X_train.to_csv('../data/processed/edad/X_train.csv', sep=';', decimal='.', index=False)
#X_test.to_csv('../data/processed/edad/X_test.csv', sep=';', decimal='.', index=False)
#y_train.to_csv('../data/processed/edad/y_train.csv', sep=';', decimal='.', index=False)
#y_test.to_csv('../data/processed/edad/y_test.csv', sep=';', decimal='.', index=False)
Dimensiones del dataset de train: (573, 19) | (573,) Dimensiones del dataset de test: (144, 19) | (144,)
# Cargar los dataset
#X_train = pd.read_csv('../data/processed/X_train.csv', sep=';', decimal='.')
#X_test = pd.read_csv('../data/processed/X_test.csv', sep=';', decimal='.')
#y_train = pd.read_csv('../data/processed/y_train.csv', sep=';', decimal='.')
#y_test = pd.read_csv('../data/processed/y_test.csv', sep=';', decimal='.')
X_train.head()
| sexo | altura | peso | pace_walk | velocidad_walk | step rate_walk | stride length_walk | shock_walk | impact gs_walk | braking gs_walk | footstrike type_walk | pronation excursion_walk | contact ratio_walk | total force rate_walk | step length_walk | pronation excursion (mp->to)_walk | stance excursion (fs->mp)_walk | stance excursion (mp->to)_walk | imc | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56 | 0 | 172 | 75.0 | 1.368319 | 5.0 | 109.194179 | 1.5016 | 1.524022 | 1.057431 | 1.038486 | 9.641509 | -5.684268 | 65.027124 | 25.497243 | 0.7508 | -7.434855 | 10.572534 | 79.712572 | 25.35 |
| 204 | 0 | 162 | 48.0 | 1.368103 | 5.0 | 122.478141 | 1.3394 | 2.092592 | 1.234906 | 1.653794 | 10.135593 | -4.712142 | 63.545308 | 36.370124 | 0.6697 | -1.344819 | 9.485441 | 70.492861 | 18.29 |
| 319 | 1 | 175 | 84.0 | 1.373916 | 5.0 | 104.662392 | 1.5718 | 2.056176 | 1.132492 | 1.664708 | 9.122449 | -5.873743 | 64.201322 | 28.241222 | 0.7859 | -6.815706 | 12.528708 | 70.281267 | 27.43 |
| 529 | 0 | 165 | 59.0 | 1.323587 | 5.0 | 117.714762 | 1.3621 | 2.612318 | 1.213409 | 2.297158 | 13.290698 | -3.467495 | 61.867358 | 13.023283 | 0.6810 | -2.696228 | 2.923158 | 84.663890 | 21.67 |
| 24 | 1 | 180 | 80.0 | 1.466770 | 5.0 | 103.557772 | 1.6977 | 2.345449 | 1.390545 | 1.798294 | 10.170213 | -6.251336 | 65.817260 | 30.570762 | 0.8489 | -11.913247 | 9.883991 | 84.795562 | 24.69 |
X_train.hist(bins=20, figsize=(26,24), color='royalblue')
plt.show()
X_train.describe().round(3)
| sexo | altura | peso | pace_walk | velocidad_walk | step rate_walk | stride length_walk | shock_walk | impact gs_walk | braking gs_walk | footstrike type_walk | pronation excursion_walk | contact ratio_walk | total force rate_walk | step length_walk | pronation excursion (mp->to)_walk | stance excursion (fs->mp)_walk | stance excursion (mp->to)_walk | imc | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 573.000 | 573.000 | 573.000 | 573.000 | 573.00 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 |
| mean | 0.642 | 172.766 | 70.733 | 1.348 | 4.97 | 111.269 | 1.456 | 2.335 | 1.558 | 1.644 | 8.288 | -7.356 | 63.456 | 21.821 | 0.773 | -3.776 | 14.642 | 69.486 | 23.605 |
| std | 0.480 | 8.739 | 12.980 | 0.152 | 0.17 | 6.946 | 0.155 | 0.883 | 0.678 | 0.648 | 2.632 | 5.078 | 1.897 | 7.605 | 0.541 | 7.393 | 6.776 | 9.578 | 3.377 |
| min | 0.000 | 148.000 | 46.000 | 0.083 | 4.00 | 85.079 | 0.080 | 0.750 | 0.445 | 0.587 | 1.250 | -29.314 | 41.133 | 5.952 | 0.040 | -22.855 | -0.159 | 32.312 | 16.050 |
| 25% | 0.000 | 167.000 | 62.000 | 1.361 | 5.00 | 107.557 | 1.410 | 1.764 | 1.139 | 1.209 | 6.056 | -10.102 | 62.589 | 14.845 | 0.705 | -8.802 | 9.196 | 62.860 | 21.260 |
| 50% | 1.000 | 173.000 | 70.000 | 1.371 | 5.00 | 111.066 | 1.472 | 2.103 | 1.372 | 1.514 | 8.667 | -6.268 | 63.572 | 20.208 | 0.736 | -3.900 | 13.487 | 70.118 | 23.200 |
| 75% | 1.000 | 179.000 | 78.000 | 1.379 | 5.00 | 114.683 | 1.529 | 2.655 | 1.790 | 1.909 | 10.342 | -3.845 | 64.394 | 27.788 | 0.765 | 1.075 | 20.099 | 76.392 | 25.250 |
| max | 1.000 | 195.000 | 135.000 | 2.794 | 5.00 | 165.523 | 2.025 | 8.329 | 6.403 | 5.236 | 15.404 | 22.671 | 71.494 | 52.165 | 7.664 | 19.832 | 37.078 | 93.933 | 41.670 |
X_train1 = X_train.iloc[:, 0:len(X_train.columns)]
X_train2 = X_train.iloc[:, 0:len(X_train.columns)]
scaleStandard = StandardScaler()
X_train_ss = pd.DataFrame(scaleStandard.fit_transform(X_train1), columns = X_train.columns)
X_test_ss = pd.DataFrame(scaleStandard.transform(X_test), columns = X_test.columns)
X_train_ss.describe().round(3)
| sexo | altura | peso | pace_walk | velocidad_walk | step rate_walk | stride length_walk | shock_walk | impact gs_walk | braking gs_walk | footstrike type_walk | pronation excursion_walk | contact ratio_walk | total force rate_walk | step length_walk | pronation excursion (mp->to)_walk | stance excursion (fs->mp)_walk | stance excursion (mp->to)_walk | imc | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 |
| mean | 0.000 | 0.000 | -0.000 | -0.000 | -0.000 | 0.000 | -0.000 | -0.000 | -0.000 | -0.000 | 0.000 | 0.000 | 0.000 | -0.000 | 0.000 | 0.000 | 0.000 | 0.000 | -0.000 |
| std | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 |
| min | -1.340 | -2.836 | -1.907 | -8.317 | -5.717 | -3.774 | -8.859 | -1.797 | -1.642 | -1.634 | -2.676 | -4.328 | -11.778 | -2.089 | -1.354 | -2.583 | -2.186 | -3.885 | -2.239 |
| 25% | -1.340 | -0.660 | -0.673 | 0.082 | 0.176 | -0.535 | -0.296 | -0.647 | -0.619 | -0.672 | -0.849 | -0.541 | -0.458 | -0.918 | -0.126 | -0.680 | -0.805 | -0.692 | -0.695 |
| 50% | 0.746 | 0.027 | -0.057 | 0.146 | 0.176 | -0.029 | 0.104 | -0.262 | -0.274 | -0.202 | 0.144 | 0.215 | 0.061 | -0.212 | -0.067 | -0.017 | -0.171 | 0.066 | -0.120 |
| 75% | 0.746 | 0.714 | 0.560 | 0.202 | 0.176 | 0.492 | 0.470 | 0.363 | 0.343 | 0.409 | 0.781 | 0.692 | 0.495 | 0.785 | -0.014 | 0.657 | 0.806 | 0.722 | 0.488 |
| max | 0.746 | 2.546 | 4.956 | 9.502 | 0.176 | 7.817 | 3.665 | 6.795 | 7.150 | 5.548 | 2.706 | 5.918 | 4.242 | 3.994 | 12.739 | 3.196 | 3.314 | 2.555 | 5.354 |
plot_boxplot(X_train_ss)
scaleMinMax = MinMaxScaler(feature_range=(0,1))
X_train_mm = pd.DataFrame(scaleMinMax.fit_transform(X_train2), columns = X_train.columns)
X_test_mm = pd.DataFrame(scaleMinMax.transform(X_test), columns = X_test.columns)
X_train_mm.describe().round(3)
| sexo | altura | peso | pace_walk | velocidad_walk | step rate_walk | stride length_walk | shock_walk | impact gs_walk | braking gs_walk | footstrike type_walk | pronation excursion_walk | contact ratio_walk | total force rate_walk | step length_walk | pronation excursion (mp->to)_walk | stance excursion (fs->mp)_walk | stance excursion (mp->to)_walk | imc | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 573.000 | 573.000 | 573.000 | 573.000 | 573.00 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 | 573.000 |
| mean | 0.642 | 0.527 | 0.278 | 0.467 | 0.97 | 0.326 | 0.707 | 0.209 | 0.187 | 0.227 | 0.497 | 0.422 | 0.735 | 0.343 | 0.096 | 0.447 | 0.397 | 0.603 | 0.295 |
| std | 0.480 | 0.186 | 0.146 | 0.056 | 0.17 | 0.086 | 0.080 | 0.116 | 0.114 | 0.139 | 0.186 | 0.098 | 0.062 | 0.165 | 0.071 | 0.173 | 0.182 | 0.155 | 0.132 |
| min | 0.000 | 0.000 | 0.000 | 0.000 | 0.00 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| 25% | 0.000 | 0.404 | 0.180 | 0.471 | 1.00 | 0.279 | 0.684 | 0.134 | 0.116 | 0.134 | 0.340 | 0.370 | 0.707 | 0.192 | 0.087 | 0.329 | 0.251 | 0.496 | 0.203 |
| 50% | 1.000 | 0.532 | 0.270 | 0.475 | 1.00 | 0.323 | 0.716 | 0.179 | 0.156 | 0.199 | 0.524 | 0.443 | 0.739 | 0.308 | 0.091 | 0.444 | 0.366 | 0.614 | 0.279 |
| 75% | 1.000 | 0.660 | 0.360 | 0.478 | 1.00 | 0.368 | 0.745 | 0.251 | 0.226 | 0.284 | 0.642 | 0.490 | 0.766 | 0.473 | 0.095 | 0.561 | 0.544 | 0.715 | 0.359 |
| max | 1.000 | 1.000 | 1.000 | 1.000 | 1.00 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
plot_boxplot(X_train_mm)
print(f'Dimensiones del dataset de train: {X_train_ss.shape} | {y_train.shape}')
print(f'Dimensiones del dataset de test: {X_test_ss.shape} | {y_test.shape}\n')
print(f'Dimensiones del dataset de train: {X_train_mm.shape} | {y_train.shape}')
print(f'Dimensiones del dataset de test: {X_test_mm.shape} | {y_test.shape}')
Dimensiones del dataset de train: (573, 19) | (573,) Dimensiones del dataset de test: (144, 19) | (144,) Dimensiones del dataset de train: (573, 19) | (573,) Dimensiones del dataset de test: (144, 19) | (144,)
# Concatenar la Variable Objetivo Codificada con X_train
X_train_with_target = X_train.copy()
X_train_with_target['Target'] = y_train
corr_matrix = X_train_with_target.corr()
plot_heatmap(corr_matrix, figsize=(18, 14), cmap="GnBu", title='', annot=False)
from pycaret.utils import version
version()
'3.3.2'
from pycaret.regression import setup, compare_models
# Configuración inicial de PyCaret
reg_setup = setup(data=df,
target='edad',
session_id=123, # Para reproducibilidad
remove_multicollinearity=True, # Eliminar multicolinealidad
fold_strategy='kfold')
best = compare_models(fold=10)
| Description | Value | |
|---|---|---|
| 0 | Session id | 123 |
| 1 | Target | edad |
| 2 | Target type | Regression |
| 3 | Original data shape | (717, 20) |
| 4 | Transformed data shape | (717, 18) |
| 5 | Transformed train set shape | (501, 18) |
| 6 | Transformed test set shape | (216, 18) |
| 7 | Numeric features | 19 |
| 8 | Preprocess | True |
| 9 | Imputation type | simple |
| 10 | Numeric imputation | mean |
| 11 | Categorical imputation | mode |
| 12 | Remove multicollinearity | True |
| 13 | Multicollinearity threshold | 0.900000 |
| 14 | Fold Generator | KFold |
| 15 | Fold Number | 10 |
| 16 | CPU Jobs | -1 |
| 17 | Use GPU | False |
| 18 | Log Experiment | False |
| 19 | Experiment Name | reg-default-name |
| 20 | USI | 9298 |
| Model | MAE | MSE | RMSE | R2 | RMSLE | MAPE | TT (Sec) | |
|---|---|---|---|---|---|---|---|---|
| et | Extra Trees Regressor | 6.5315 | 88.5039 | 9.3501 | 0.4932 | 0.2646 | 0.2077 | 0.0120 |
| gbr | Gradient Boosting Regressor | 7.4970 | 92.0821 | 9.5143 | 0.4743 | 0.2691 | 0.2338 | 0.0140 |
| rf | Random Forest Regressor | 7.3414 | 94.0233 | 9.6387 | 0.4580 | 0.2735 | 0.2321 | 0.0230 |
| lightgbm | Light Gradient Boosting Machine | 7.2343 | 99.1129 | 9.8745 | 0.4335 | 0.2771 | 0.2255 | 0.2520 |
| lr | Linear Regression | 8.6670 | 113.8104 | 10.6405 | 0.3384 | 0.2935 | 0.2639 | 0.1350 |
| ada | AdaBoost Regressor | 8.8763 | 115.9142 | 10.7286 | 0.3377 | 0.3022 | 0.2796 | 0.0080 |
| ridge | Ridge Regression | 8.7528 | 115.3835 | 10.7132 | 0.3306 | 0.2948 | 0.2663 | 0.0030 |
| br | Bayesian Ridge | 8.8740 | 116.7040 | 10.7685 | 0.3259 | 0.2977 | 0.2721 | 0.0030 |
| en | Elastic Net | 8.9118 | 117.3679 | 10.7983 | 0.3226 | 0.2987 | 0.2736 | 0.0030 |
| lasso | Lasso Regression | 8.9500 | 118.1620 | 10.8347 | 0.3182 | 0.2997 | 0.2750 | 0.0850 |
| llar | Lasso Least Angle Regression | 8.9501 | 118.1639 | 10.8348 | 0.3182 | 0.2997 | 0.2750 | 0.0840 |
| lar | Least Angle Regression | 8.8307 | 117.5246 | 10.8153 | 0.3152 | 0.2964 | 0.2674 | 0.0020 |
| huber | Huber Regressor | 8.8597 | 118.0148 | 10.8314 | 0.3150 | 0.2971 | 0.2665 | 0.0040 |
| knn | K Neighbors Regressor | 9.3609 | 135.9023 | 11.6325 | 0.2174 | 0.3161 | 0.2790 | 0.0080 |
| omp | Orthogonal Matching Pursuit | 10.2889 | 161.4679 | 12.6417 | 0.0845 | 0.3428 | 0.3197 | 0.0030 |
| dummy | Dummy Regressor | 10.7720 | 178.4980 | 13.3018 | -0.0119 | 0.3646 | 0.3441 | 0.0020 |
| par | Passive Aggressive Regressor | 11.0412 | 192.2085 | 13.4547 | -0.0634 | 0.3728 | 0.3075 | 0.0030 |
| dt | Decision Tree Regressor | 9.2946 | 185.4762 | 13.4825 | -0.0985 | 0.3723 | 0.2720 | 0.0030 |
Extra Trees Regressor es el que presenta las métricas más favorables en este análisis con un MAE de 6.5701, MSE de 89.4818 y un R2 de 0.4867.et = create_model('et', fold=10)
| MAE | MSE | RMSE | R2 | RMSLE | MAPE | |
|---|---|---|---|---|---|---|
| Fold | ||||||
| 0 | 6.1163 | 82.3219 | 9.0731 | 0.5868 | 0.2507 | 0.1929 |
| 1 | 5.1246 | 61.4011 | 7.8359 | 0.6785 | 0.2363 | 0.1737 |
| 2 | 8.2900 | 123.9955 | 11.1353 | 0.4067 | 0.3032 | 0.2578 |
| 3 | 7.9912 | 127.9902 | 11.3133 | 0.4985 | 0.3248 | 0.2704 |
| 4 | 6.1590 | 80.8411 | 8.9912 | 0.5381 | 0.2725 | 0.2141 |
| 5 | 5.7116 | 73.2988 | 8.5615 | 0.5235 | 0.2371 | 0.1778 |
| 6 | 6.8908 | 91.1148 | 9.5454 | 0.3625 | 0.2652 | 0.2119 |
| 7 | 6.8674 | 82.2812 | 9.0709 | 0.4288 | 0.2788 | 0.2390 |
| 8 | 6.0764 | 87.4135 | 9.3495 | 0.4777 | 0.2556 | 0.1842 |
| 9 | 6.0874 | 74.3813 | 8.6245 | 0.4308 | 0.2220 | 0.1551 |
| Mean | 6.5315 | 88.5039 | 9.3501 | 0.4932 | 0.2646 | 0.2077 |
| Std | 0.9398 | 20.3167 | 1.0394 | 0.0888 | 0.0300 | 0.0362 |
plot_model(et)
El coeficiente R^2 en el conjunto de entrenamiento es 1.000, lo que indica un sobreajuste extremo, mientras que en el conjunto de prueba es 0.429, lo que sugiere que el modelo no generaliza bien a nuevos datos.
plot_model(et, plot = 'error')
Este gráfico muestra una línea de identidad y una línea de mejor ajuste que difiere de la identidad, reforzando que el modelo no predice con exactitud, particularmente para valores más altos, donde las predicciones tienden a desviarse.
plot_model(et, plot = 'feature')
La gráfica muestra que ciertas características como imc, stance excursion (mp->to)_walk, y peso tienen una importancia relativamente alta, lo que sugiere que impactan significativamente en las predicciones del modelo.
interpret_model(et)
Proporciona una visión más detallada de cómo cada característica contribuye a las predicciones del modelo. Los valores SHAP altos en rojo indican un impacto positivo en la predicción, mientras que los valores en azul indican un impacto negativo.
pred_holdouts = predict_model(et)
pred_holdouts.head()
| Model | MAE | MSE | RMSE | R2 | RMSLE | MAPE | |
|---|---|---|---|---|---|---|---|
| 0 | Extra Trees Regressor | 7.2575 | 111.0403 | 10.5376 | 0.4324 | 0.2967 | 0.2331 |
| sexo | altura | peso | pace_walk | velocidad_walk | step rate_walk | stride length_walk | shock_walk | impact gs_walk | braking gs_walk | ... | pronation excursion_walk | contact ratio_walk | total force rate_walk | step length_walk | pronation excursion (mp->to)_walk | stance excursion (fs->mp)_walk | stance excursion (mp->to)_walk | imc | edad | prediction_label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 221 | 1 | 183 | 80.0 | 1.369794 | 5.0 | 100.110695 | 1.6376 | 1.400971 | 0.907010 | 1.034359 | ... | -5.131702 | 62.879509 | 32.683510 | 0.8188 | 4.772017 | 19.983431 | 82.048805 | 23.889999 | 36 | 35.50 |
| 421 | 0 | 160 | 58.0 | 1.383435 | 5.0 | 121.703499 | 1.3641 | 2.809687 | 1.786143 | 2.122265 | ... | -8.684649 | 62.736145 | 15.499695 | 0.6821 | 0.672912 | 21.669538 | 65.181786 | 22.660000 | 49 | 33.64 |
| 637 | 1 | 187 | 80.0 | 1.378343 | 5.0 | 102.821175 | 1.6217 | 1.323230 | 1.075733 | 0.735767 | ... | -16.563437 | 60.509689 | 19.752890 | 0.8109 | 0.663300 | 25.004606 | 52.429550 | 22.879999 | 29 | 29.00 |
| 641 | 1 | 173 | 93.0 | 1.382228 | 5.0 | 116.821167 | 1.4182 | 1.937607 | 1.276474 | 1.411072 | ... | -1.634171 | 65.325462 | 12.597550 | 0.7091 | 4.597264 | 19.320871 | 62.338638 | 31.070000 | 56 | 56.00 |
| 336 | 0 | 168 | 72.0 | 1.378090 | 5.0 | 119.250023 | 1.3886 | 2.992953 | 2.024507 | 2.196171 | ... | -9.065692 | 61.962463 | 34.322460 | 0.6943 | -6.855934 | 11.283381 | 55.317280 | 25.510000 | 67 | 51.52 |
5 rows × 21 columns
Consideraciones
StandardScaler¶plot_lasso_paths(X_train_ss, y_train)
best_alpha = optimize_alpha(X_train_ss, y_train)
Best parameters: {'alpha': 0.4216965034285822}
lasso1 = Lasso(alpha=best_alpha) # Reemplazar con el valor de alpha anterior
lasso1.fit(X_train_ss, y_train)
lasso_coefs = lasso1.coef_ # Obtener los coeficientes
# Identificar las características que el modelo Lasso ha reducido a cero
features_to_remove = [feature for feature, coef in zip(X_train_ss.columns, lasso_coefs) if coef == 0]
print("Características para eliminar:", features_to_remove)
print(f"\nTrain: {lasso1.score(X_train_ss,y_train)}")
print(f"Test: {lasso1.score(X_test_ss,y_test)} \n")
evaluate_model_reg(lasso1, X_test_ss, y_test, title='Lasso Regression')
Características para eliminar: ['sexo', 'altura', 'peso', 'pace_walk', 'velocidad_walk', 'step rate_walk', 'impact gs_walk', 'pronation excursion_walk', 'contact ratio_walk', 'pronation excursion (mp->to)_walk', 'stance excursion (fs->mp)_walk'] Train: 0.3794418947466843 Test: 0.3633767005009608 MAE: 8.5850 MSE: 112.5500 RMSE: 10.6090 R2: 0.3630
{'MAE': 8.585, 'MSE': 112.55, 'RMSE': 10.609, 'R2': 0.363}
StandardScaler y Selección de Características¶selected_cols = ['stride length_walk', 'shock_walk', 'footstrike type_walk', 'total force rate_walk',
'step length_walk', 'stance excursion (mp->to)_walk', 'imc']
lasso1b = Lasso(alpha=best_alpha) # Reemplazar con el valor de alpha anterior
lasso1b.fit(X_train_ss[selected_cols], y_train)
lasso_coefs = lasso1b.coef_ # Obtener los coeficientes
# Identificar las características que el modelo Lasso ha reducido a cero
features_to_remove = [feature for feature, coef in zip(X_train_ss[selected_cols].columns, lasso_coefs) if coef == 0]
print("Características para eliminar:", features_to_remove)
print(f"\nTrain: {lasso1b.score(X_train_ss[selected_cols],y_train)}")
print(f"Test: {lasso1b.score(X_test_ss[selected_cols],y_test)} \n")
evaluate_model_reg(lasso1b, X_test_ss[selected_cols], y_test, title='Lasso Regression')
Características para eliminar: [] Train: 0.3794428817046889 Test: 0.3634014243931055 MAE: 8.5850 MSE: 112.5450 RMSE: 10.6090 R2: 0.3630
{'MAE': 8.585, 'MSE': 112.545, 'RMSE': 10.609, 'R2': 0.363}
MinMaxScaler¶plot_lasso_paths(X_train_mm, y_train)
best_alpha_2 = optimize_alpha(X_train_mm, y_train)
Best parameters: {'alpha': 0.051089697745069135}
lasso2 = Lasso(alpha=best_alpha_2) # Reemplazar con el valor de alpha anterior
lasso2.fit(X_train_mm, y_train)
lasso_coefs = lasso2.coef_ # Obtener los coeficientes
# Identificar las características que el modelo Lasso ha reducido a cero
features_to_remove = [feature for feature, coef in zip(X_train_mm.columns, lasso_coefs) if coef == 0]
print("Características para eliminar:", features_to_remove)
print(f"\nTrain: {lasso2.score(X_train_mm,y_train)}")
print(f"Test: {lasso2.score(X_test_mm,y_test)} \n")
evaluate_model_reg(lasso2, X_test_mm, y_test, title='Lasso Regression')
Características para eliminar: ['altura', 'peso', 'pace_walk', 'step rate_walk', 'impact gs_walk', 'pronation excursion_walk', 'contact ratio_walk', 'step length_walk', 'pronation excursion (mp->to)_walk', 'stance excursion (fs->mp)_walk'] Train: 0.3806400868768145 Test: 0.3635522804988004 MAE: 8.5430 MSE: 112.5190 RMSE: 10.6070 R2: 0.3640
{'MAE': 8.543, 'MSE': 112.519, 'RMSE': 10.607, 'R2': 0.364}
MinMaxScaler y Selección de Características¶selected_cols = ['sexo', 'velocidad_walk', 'stride length_walk', 'shock_walk', 'braking gs_walk',
'footstrike type_walk', 'total force rate_walk', 'stance excursion (mp->to)_walk', 'imc']
lasso2b = Lasso(alpha=best_alpha_2) # Reemplazar con el valor de alpha anterior
lasso2b.fit(X_train_mm[selected_cols], y_train)
lasso_coefs = lasso2b.coef_ # Obtener los coeficientes
# Identificar las características que el modelo Lasso ha reducido a cero
features_to_remove = [feature for feature, coef in zip(X_train_mm[selected_cols].columns, lasso_coefs) if coef == 0]
print("Características para eliminar:", features_to_remove)
print(f"\nTrain: {lasso2b.score(X_train_mm[selected_cols],y_train)}")
print(f"Test: {lasso2b.score(X_test_mm[selected_cols],y_test)} \n")
evaluate_model_reg(lasso2b, X_test_mm[selected_cols], y_test, title='Lasso Regression')
Características para eliminar: [] Train: 0.38063707843288175 Test: 0.3635349451510995 MAE: 8.5430 MSE: 112.5220 RMSE: 10.6080 R2: 0.3640
{'MAE': 8.543, 'MSE': 112.522, 'RMSE': 10.608, 'R2': 0.364}
En esta etapa de evaluación de modelos Lasso con diferentes configuraciones de preprocesamiento y selección de características, se han obtenido resultados muy similares entre las cuatro configuraciones probadas. Los modelos entrenados presentaron una capacidad predictiva similar tanto en los conjuntos de entrenamiento como de prueba, con métricas de desempeño muy cercanas en términos de MAE, MSE, RMSE y R².
Influencia del Escalado de Datos: La comparación entre los modelos que utilizan StandardScaler (Modelo 1 y 2) y MinMaxScaler (Modelo 3 y 4) muestra una ligera mejora en las métricas de rendimiento con el uso de MinMaxScaler. Sin embargo, estas mejoras son mínimas, lo que sugiere que el método de escalado no tiene un impacto significativo en la capacidad predictiva del modelo Lasso para este conjunto de datos.
Efecto de la Eliminación de Características: Eliminar características basadas en su importancia en el primer y tercer modelo no alteró las métricas de rendimiento (Modelo 2 y 4 respectivamente). Esto indica que las características eliminadas no contribuyen significativamente a la capacidad predictiva del modelo, o que la penalización Lasso ya ha reducido efectivamente la influencia de estas características poco importantes en el modelo original.
Estabilidad del Modelo Lasso: Los valores consistentes de R² y las métricas de error en todos los modelos indican una estabilidad en la predicción del modelo Lasso, independientemente del preprocesamiento y la selección de características. Esto puede ser atribuido a la naturaleza de Lasso que incluye la selección de características como parte de su regularización.
Esta etapa ha demostrado que mientras Lasso es efectivo para simplificar el modelo y manejar la multicolinearidad, su capacidad para mejorar significativamente el rendimiento predictivo en este caso particular es limitada.
lr = LinearRegression().fit(X_train, y_train)
evaluate_model_reg(lr,X_test, y_test, title="Linear Regression")
# Mostrar los coeficientes del modelo
print('\nIntercepto (w0):', lr.intercept_)
print('Coeficientes (w1, w2, ..., wn):', lr.coef_)
# Calcular la norma L2 al cuadrado de los coeficientes (sin incluir el intercepto)
norm_w2 = np.dot(lr.coef_,lr.coef_.T)
print(f'\n||w||_2^2 = {norm_w2:.2g}\n')
print("Train: ",lr.score(X_train,y_train))
print("Test: ",lr.score(X_test,y_test))
MAE: 8.2880 MSE: 109.4670 RMSE: 10.4630 R2: 0.3810
Intercepto (w0): -129.02682854020043 Coeficientes (w1, w2, ..., wn): [ -1.67835003 0.7978791 -0.94214152 30.22167656 1.86527573 -0.24709852 -38.38619948 -4.58489387 2.78206354 1.86222887 2.87275387 -0.18604814 0.47729808 0.30537522 1.12845495 0.04421634 0.25082562 -0.4909435 4.3085196 ] ||w||_2^2 = 2.5e+03 Train: 0.402077359377493 Test: 0.3808139364678741
# Comparación de valores reales y predichos
y_pred = lr.predict(X_test)
print("\nComparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
print(f'Real: {real}, Predicho: {pred}')
Comparación de valores reales y predichos: Real: 29, Predicho: 39.35740861411634 Real: 35, Predicho: 26.61256664323841 Real: 35, Predicho: 37.599001640528144 Real: 29, Predicho: 35.24587752070104 Real: 27, Predicho: 38.58743230123858 Real: 75, Predicho: 61.813490146557115 Real: 59, Predicho: 49.5153959138251 Real: 27, Predicho: 30.7298046671863 Real: 61, Predicho: 53.26139588487476 Real: 19, Predicho: 30.746992253469074
lr2 = LinearRegression().fit(X_train_ss, y_train)
evaluate_model_reg(lr2,X_test_ss, y_test, title="Linear Regression")
# Mostrar los coeficientes del modelo
print('\nIntercepto (w0):', lr2.intercept_)
print('Coeficientes (w1, w2, ..., wn):', lr2.coef_)
# Calcular la norma L2 al cuadrado de los coeficientes (sin incluir el intercepto)
norm_w2 = np.dot(lr2.coef_,lr2.coef_.T)
print(f'\n||w||_2^2 = {norm_w2:.2g}\n')
print("Train: ",lr2.score(X_train_ss,y_train))
print("Test: ",lr2.score(X_test_ss,y_test))
MAE: 8.2880 MSE: 109.4670 RMSE: 10.4630 R2: 0.3810
Intercepto (w0): 38.537521815008716 Coeficientes (w1, w2, ..., wn): [ -0.80450502 6.96665456 -12.21843901 4.59638557 0.31652176 -1.71493662 -5.95941152 -4.04466136 1.88531393 1.20570479 7.55487196 -0.94395407 0.90458538 2.32022711 0.61038676 0.32659767 1.69800764 -4.69795639 14.53722766] ||w||_2^2 = 5.8e+02 Train: 0.4020773593774932 Test: 0.38081393646787465
# Comparación de valores reales y predichos
y_pred = lr2.predict(X_test_ss)
print("\nComparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
print(f'Real: {real}, Predicho: {pred}')
Comparación de valores reales y predichos: Real: 29, Predicho: 39.357408614116366 Real: 35, Predicho: 26.612566643238395 Real: 35, Predicho: 37.59900164052791 Real: 29, Predicho: 35.24587752070107 Real: 27, Predicho: 38.58743230123869 Real: 75, Predicho: 61.813490146557065 Real: 59, Predicho: 49.51539591382518 Real: 27, Predicho: 30.72980466718637 Real: 61, Predicho: 53.26139588487483 Real: 19, Predicho: 30.74699225346908
lr3 = LinearRegression().fit(X_train_mm, y_train)
evaluate_model_reg(lr3,X_test_mm, y_test, title="Linear Regression")
# Mostrar los coeficientes del modelo
print('\nIntercepto (w0):', lr3.intercept_)
print('Coeficientes (w1, w2, ..., wn):', lr3.coef_)
# Calcular la norma L2 al cuadrado de los coeficientes (sin incluir el intercepto)
norm_w2 = np.dot(lr3.coef_,lr3.coef_.T)
print(f'\n||w||_2^2 = {norm_w2:.2g}\n')
print("Train: ",lr3.score(X_train_mm,y_train))
print("Test: ",lr3.score(X_test_mm,y_test))
MAE: 8.2880 MSE: 109.4670 RMSE: 10.4630 R2: 0.3810
Intercepto (w0): 13.26835975913934 Coeficientes (w1, w2, ..., wn): [ -1.67835003 37.50031792 -83.85059524 81.90693282 1.86527573 -19.87737287 -74.63236834 -34.74974713 16.57451111 8.65867145 40.65954712 -9.67183368 14.49124676 14.11228779 8.60266344 1.88747415 9.34017648 -30.2527185 110.38427205] ||w||_2^2 = 3.8e+04 Train: 0.4020773593774931 Test: 0.380813936467874
# Comparación de valores reales y predichos
y_pred = lr3.predict(X_test_mm)
print("\nComparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
print(f'Real: {real}, Predicho: {pred}')
Comparación de valores reales y predichos: Real: 29, Predicho: 39.35740861411636 Real: 35, Predicho: 26.61256664323838 Real: 35, Predicho: 37.59900164052793 Real: 29, Predicho: 35.245877520701086 Real: 27, Predicho: 38.58743230123872 Real: 75, Predicho: 61.81349014655707 Real: 59, Predicho: 49.51539591382526 Real: 27, Predicho: 30.729804667186357 Real: 61, Predicho: 53.26139588487483 Real: 19, Predicho: 30.74699225346905
En las pruebas realizadas con el modelo de regresión lineal aplicando diferentes métodos de escalado, se observa que las métricas de rendimiento (MAE, MSE, RMSE, R2) son consistentes a través de los tres modelos, indicando que el método de escalado no tiene un impacto significativo en el rendimiento predictivo del modelo para este conjunto de datos.
Sin embargo, los valores de los coeficientes y sus normas L2 al cuadrado varían considerablemente, reflejando cambios en la magnitud de los coeficientes que dependen del tipo de escalado aplicado. Esto sugiere que, aunque el escalado no altera la calidad de la predicción del modelo, sí afecta la escala y la interpretación de los coeficientes del modelo.
Aunque el modelo logra cierta aproximación a los valores reales, hay una variabilidad considerable en la precisión de las predicciones. Algunas predicciones están bastante alejadas de los valores reales, especialmente en casos donde la edad real es más alta.
dt_param_grid = {
'max_depth': range(1, 20),
'min_samples_split': [2, 10, 20],
'min_samples_leaf': [1, 4, 10]
}
dt_model_1 = train_and_plot_model(DecisionTreeRegressor(random_state=0), dt_param_grid, X_train, y_train, cv=5)
Fitting 5 folds for each of 171 candidates, totalling 855 fits
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
Best mean cross-validation score: 0.316
Best parameters: {'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 2}
fig = plt.figure(figsize=(25,20))
_ = tree.plot_tree(dt_model_1, feature_names=list(X_train.columns), filled=True)
plot_feature_importance(dt_model_1, X_train.columns, figsize=(10,12))
print("Train: ",dt_model_1.score(X_train,y_train))
print("Test: ",dt_model_1.score(X_test,y_test))
Train: 0.40006471949444344 Test: 0.19060473974886327
evaluate_model_reg(dt_model_1,X_test, y_test, title="Decision Tree Regressor")
MAE: 9.6310 MSE: 143.0940 RMSE: 11.9620 R2: 0.1910
{'MAE': 9.631, 'MSE': 143.094, 'RMSE': 11.962, 'R2': 0.191}
# Comparación de valores reales y predichos
y_pred = dt_model_1.predict(X_test)
print("\nComparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
print(f'Real: {real}, Predicho: {pred}')
Comparación de valores reales y predichos: Real: 29, Predicho: 30.497737556561084 Real: 35, Predicho: 30.497737556561084 Real: 35, Predicho: 41.55203619909502 Real: 29, Predicho: 30.497737556561084 Real: 27, Predicho: 41.55203619909502 Real: 75, Predicho: 67.66666666666667 Real: 59, Predicho: 41.55203619909502 Real: 27, Predicho: 30.497737556561084 Real: 61, Predicho: 41.55203619909502 Real: 19, Predicho: 36.032786885245905
columns = ['peso', 'braking gs_walk', 'footstrike type_walk', 'contact ratio_walk', 'total force rate_walk',
'step length_walk', 'stance excursion (mp->to)_walk','stride length_walk', 'imc']
dt_param_grid = {
'max_depth': range(1, 20),
'min_samples_split': [2, 10, 20],
'min_samples_leaf': [1, 4, 10]
}
dt_model_2 = train_and_plot_model(DecisionTreeRegressor(random_state=0), dt_param_grid, X_train[columns], y_train, cv=5)
Fitting 5 folds for each of 171 candidates, totalling 855 fits
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=1, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=2, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=3, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=4, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=5, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=6, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=7, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=8, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=9, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=10, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=11, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=12, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=13, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=14, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=15, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=16, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=17, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=18, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=1, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=4, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=2; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=10; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
[CV] END max_depth=19, min_samples_leaf=10, min_samples_split=20; total time= 0.0s
Best mean cross-validation score: 0.326
Best parameters: {'max_depth': 3, 'min_samples_leaf': 1, 'min_samples_split': 10}
print(f"Train: {dt_model_2.score(X_train[columns],y_train)}")
print(f"Test: {dt_model_2.score(X_test[columns],y_test)}\n")
evaluate_model_reg(dt_model_2,X_test[columns], y_test, title="Decision Tree Regressor")
Train: 0.40006471949444344 Test: 0.19060473974886327 MAE: 9.6310 MSE: 143.0940 RMSE: 11.9620 R2: 0.1910
{'MAE': 9.631, 'MSE': 143.094, 'RMSE': 11.962, 'R2': 0.191}
y_pred = dt_model_2.predict(X_test[columns])
print("Comparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
print(f'Real: {real}, Predicho: {pred}')
Comparación de valores reales y predichos: Real: 29, Predicho: 30.497737556561084 Real: 35, Predicho: 30.497737556561084 Real: 35, Predicho: 41.55203619909502 Real: 29, Predicho: 30.497737556561084 Real: 27, Predicho: 41.55203619909502 Real: 75, Predicho: 67.66666666666667 Real: 59, Predicho: 41.55203619909502 Real: 27, Predicho: 30.497737556561084 Real: 61, Predicho: 41.55203619909502 Real: 19, Predicho: 36.032786885245905
El modelo de árbol de decisión ha demostrado tener un rendimiento limitado en el conjunto de datos proporcionado, como lo indican las métricas de evaluación y la comparación de los valores predichos frente a los reales. A pesar de implementar una selección de características más relevante y ajustar los parámetros del modelo, los resultados siguen siendo subóptimos, especialmente en el conjunto de prueba.
Desempeño del Modelo:
R^2 de 0.206 en el conjunto de prueba, lo que sugiere que sólo puede explicar aproximadamente el 20.6% de la variabilidad en los datos objetivo. Esto es relativamente bajo, indicando una capacidad predictiva pobre.Ajuste del Modelo:
R^2 de 0.519) comparado con la prueba (R^2 de 0.206). Predicciones vs. Valores Reales:
El árbol de decisión probado requiere mejoras significativas o la consideración de alternativas más robustas para lograr una predicción precisa y confiable en este conjunto de datos. El enfoque actual muestra limitaciones claras en términos de precisión predictiva y generalización a datos no vistos.
rf = RandomForestRegressor(random_state=0, n_estimators=200, max_features='sqrt')
# Definir un grid de parámetros más complejo
rf_param_grid = {
'max_depth': range(1, 15),
'n_estimators': [50, 100],
'min_samples_split': [2, 10],
'min_samples_leaf': [1, 4],
'max_features': ['sqrt', 'log2']
}
rf_model_1 = train_and_plot_model(rf, rf_param_grid, X_train, y_train)
Fitting 3 folds for each of 224 candidates, totalling 672 fits
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=1, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=2, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=3, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=4, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=5, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=6, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=7, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.0s
[CV] END max_depth=7, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=8, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=9, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=10, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=11, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=12, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=13, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=1, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=2, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=50; total time= 0.0s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
[CV] END max_depth=14, max_features=log2, min_samples_leaf=4, min_samples_split=10, n_estimators=100; total time= 0.1s
Best mean cross-validation score: 0.444
Best parameters: {'max_depth': 13, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50}
print("Train: ",rf_model_1.score(X_train,y_train))
print("Test: ",rf_model_1.score(X_test,y_test))
Train: 0.9149804713542204 Test: 0.47987250658194847
rf_param_grid = {'max_depth': range(1, 15)} # Grid de parámetros simple
rf_model_2 = train_and_plot_model(rf, rf_param_grid, X_train, y_train)
Fitting 3 folds for each of 14 candidates, totalling 42 fits
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
Best mean cross-validation score: 0.442
Best parameters: {'max_depth': 12}
Cuando se utiliza un solo parámetro (max_depth) en el modelo de Random Forest, se observa un ligero aumento en la puntuación de validación cruzada comparado con el uso de múltiples parámetros (max_depth, n_estimators, min_samples_split, min_samples_leaf, max_features). Este fenómeno puede deberse a la complejidad adicional y las interacciones entre múltiples parámetros que no necesariamente se traducen en mejoras lineales del rendimiento. Las combinaciones adicionales pueden introducir sobreajuste en el grid search o no captar adecuadamente las sinergias entre los parámetros, especialmente en un conjunto de datos con características particulares.
print(f"Train: {rf_model_2.score(X_train,y_train)}")
print(f"Test: {rf_model_2.score(X_test,y_test)}\n")
evaluate_model_reg(rf_model_2,X_test, y_test, title="Random Forest")
Train: 0.9033705451187493 Test: 0.49033077147973125 MAE: 7.1980 MSE: 90.1050 RMSE: 9.4920 R2: 0.4900
{'MAE': 7.198, 'MSE': 90.105, 'RMSE': 9.492, 'R2': 0.49}
plot_feature_importance(rf_model_2, X_train.columns, figsize=(10,12))
# Curva de Aprendizaje
train_sizes, train_scores, valid_scores = learning_curve(
rf_model_2, X_train, y_train, train_sizes=np.linspace(0.01, 1.0, 40), cv=5,
scoring="neg_root_mean_squared_error")
train_errors = -train_scores.mean(axis=1)
valid_errors = -valid_scores.mean(axis=1)
plt.plot(train_sizes, train_errors, "r-+", linewidth=2, label="train")
plt.plot(train_sizes, valid_errors, "b-", linewidth=2, label="valid")
plt.xlabel('Tamaño del conjunto de entrenamiento')
plt.ylabel('RMSE')
plt.title('Curva de aprendizaje')
plt.legend()
sns.despine(top=True, right=True, left=False, bottom=False)
plt.show()
La curva de aprendizaje y las métricas asociadas indican que el modelo de Random Forest, antes de la selección de características, muestra un sobreajuste significativo, con un excelente rendimiento en el conjunto de entrenamiento pero un rendimiento más modesto en el conjunto de prueba. Este comportamiento sugiere la necesidad de ajustar la complejidad del modelo o de implementar métodos para mejorar la generalización, como la selección de características o el ajuste de parámetros.
columns = ['peso', 'pace_walk', 'step rate_walk', 'stride length_walk',
'footstrike type_walk', 'total force rate_walk', 'step length_walk',
'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc']
rf = RandomForestRegressor(random_state=0, n_estimators=200, max_features='sqrt')
rf_param_grid = {'max_depth': range(1, 15)}
rf_model_3 = train_and_plot_model(rf, rf_param_grid, X_train[columns], y_train, cv=10)
Fitting 10 folds for each of 14 candidates, totalling 140 fits
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=1; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=2; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=3; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=4; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=5; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=6; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=7; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=8; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END ........................................max_depth=9; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=10; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=11; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=12; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=13; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
[CV] END .......................................max_depth=14; total time= 0.1s
Best mean cross-validation score: 0.470
Best parameters: {'max_depth': 13}
print(f"Train: {rf_model_3.score(X_train[columns],y_train)}")
print(f"Test: {rf_model_3.score(X_test[columns],y_test)}\n")
evaluate_model_reg(rf_model_3,X_test[columns], y_test, title="Random Forest")
Train: 0.911420142647305 Test: 0.5095984277504668 MAE: 7.1250 MSE: 86.6990 RMSE: 9.3110 R2: 0.5100
{'MAE': 7.125, 'MSE': 86.699, 'RMSE': 9.311, 'R2': 0.51}
y_pred = rf_model_3.predict(X_test[columns])
print("Comparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
print(f'Real: {real}, Predicho: {pred}')
Comparación de valores reales y predichos: Real: 29, Predicho: 30.496489381595502 Real: 35, Predicho: 25.388893628358034 Real: 35, Predicho: 42.654107643704776 Real: 29, Predicho: 31.797660492371406 Real: 27, Predicho: 37.88986021448361 Real: 75, Predicho: 54.769285714285715 Real: 59, Predicho: 53.94236103335079 Real: 27, Predicho: 35.94084556985883 Real: 61, Predicho: 47.10459560337143 Real: 19, Predicho: 34.96987349529126
La selección de características ha resultado en un modelo de Random Forest más eficiente y efectivo, demostrando una mejor capacidad predictiva y precisión. El modelo ahora no solo es más simple y se entrena más rápidamente, sino que también muestra una mejoría en todos los aspectos de su rendimiento evaluado mediante métricas estándar. A pesar de las mejoras, continúan existiendo áreas de oportunidad para optimizar aún más el rendimiento.
gbr = GradientBoostingRegressor(random_state=42)
# Definir un grid de parámetros más complejo
param_grid = {
'n_estimators': [100, 200],
'max_depth': range(1, 15),
'min_samples_split': [2, 5],
'learning_rate': [0.01, 0.1],
'subsample': [0.9, 1.0]
}
gbr_model = train_and_plot_model(gbr, param_grid, X_train, y_train)
Fitting 3 folds for each of 224 candidates, totalling 672 fits
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.6s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.6s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.6s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.6s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.01, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.4s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=10, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=11, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=12, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.6s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.6s
[CV] END learning_rate=0.1, max_depth=13, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=2, n_estimators=200, subsample=1.0; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=0.9; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=100, subsample=1.0; total time= 0.3s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.5s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.6s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=0.9; total time= 0.6s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.6s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.6s
[CV] END learning_rate=0.1, max_depth=14, min_samples_split=5, n_estimators=200, subsample=1.0; total time= 0.6s
Best mean cross-validation score: 0.466
Best parameters: {'learning_rate': 0.01, 'max_depth': 9, 'min_samples_split': 2, 'n_estimators': 200, 'subsample': 0.9}
print(f"Train: {gbr_model.score(X_train,y_train)}")
print(f"Test: {gbr_model.score(X_test,y_test)}\n")
evaluate_model_reg(gbr_model,X_test, y_test, title="Gradient Boosting Regressor")
Train: 0.9515814811569567 Test: 0.3800798320539087 MAE: 7.7400 MSE: 109.5970 RMSE: 10.4690 R2: 0.3800
{'MAE': 7.74, 'MSE': 109.597, 'RMSE': 10.469, 'R2': 0.38}
plot_feature_importance(gbr_model, X_train.columns, figsize=(10,12))
columns = ['pace_walk','step rate_walk', 'braking gs_walk', 'footstrike type_walk', 'total force rate_walk',
'step length_walk','stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc']
# Definir un grid de parámetros más complejo
param_grid = {
'n_estimators': [100, 150],
'max_depth': range(1, 10),
'min_samples_split': [10, 20],
'learning_rate': [0.05, 0.1],
'subsample': [0.5, 0.7]
}
gbr_model_2 = train_and_plot_model(gbr, param_grid, X_train[columns], y_train, cv=10)
Fitting 10 folds for each of 144 candidates, totalling 1440 fits
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.05, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=1, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=2, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.0s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=3, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=4, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=5, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=6, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=7, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=8, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=10, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=100, subsample=0.7; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.5; total time= 0.1s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
[CV] END learning_rate=0.1, max_depth=9, min_samples_split=20, n_estimators=150, subsample=0.7; total time= 0.2s
Best mean cross-validation score: 0.493
Best parameters: {'learning_rate': 0.05, 'max_depth': 7, 'min_samples_split': 10, 'n_estimators': 150, 'subsample': 0.7}
print(f"Train: {gbr_model_2.score(X_train[columns],y_train)}")
print(f"Test: {gbr_model_2.score(X_test[columns],y_test)}\n")
evaluate_model_reg(gbr_model_2,X_test[columns], y_test, title="Gradient Boosting Regressor")
Train: 0.9841659511012273 Test: 0.42683946430327424 MAE: 7.1670 MSE: 101.3300 RMSE: 10.0660 R2: 0.4270
{'MAE': 7.167, 'MSE': 101.33, 'RMSE': 10.066, 'R2': 0.427}
param_dist = {
'n_estimators': [100, 150],
'max_depth': range(1, 10),
'min_samples_split': sp_randint(10, 20),
'learning_rate': [0.05, 0.1],
'subsample': [0.5, 0.7]
}
gbr_model_3 = train_and_plot_model_randomsearchcv(gbr, param_dist, X_train[columns], y_train)
Fitting 10 folds for each of 20 candidates, totalling 200 fits
Best cross-validation score (MSE): 91.90410473539082
Best mean cross-validation score: -91.904
Best parameters: {'learning_rate': 0.05, 'max_depth': 9, 'min_samples_split': 16, 'n_estimators': 150, 'subsample': 0.7}
print(f"Train: {gbr_model_3.score(X_train[columns],y_train)}")
print(f"Test: {gbr_model_3.score(X_test[columns],y_test)}\n")
evaluate_model_reg(gbr_model_3,X_test[columns], y_test, title="Gradient Boosting Regressor")
Train: 0.9885997671496616 Test: 0.46768601112651975 MAE: 6.9740 MSE: 94.1090 RMSE: 9.7010 R2: 0.4680
{'MAE': 6.974, 'MSE': 94.109, 'RMSE': 9.701, 'R2': 0.468}
y_pred = gbr_model_3.predict(X_test[columns])
print("Comparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
print(f'Real: {real}, Predicho: {pred}')
Comparación de valores reales y predichos: Real: 29, Predicho: 31.2271197186618 Real: 35, Predicho: 23.22535962625706 Real: 35, Predicho: 37.854869903630316 Real: 29, Predicho: 29.426300777363796 Real: 27, Predicho: 43.69025961373089 Real: 75, Predicho: 62.26248739283441 Real: 59, Predicho: 57.37432280395004 Real: 27, Predicho: 39.45618902267899 Real: 61, Predicho: 44.83323066833493 Real: 19, Predicho: 29.31707946800116
maxDepth = range(1,15)
tuned_parameters = {'estimator__max_depth': maxDepth}
grid = GridSearchCV(
BaggingRegressor(estimator=DecisionTreeRegressor(), random_state=0, n_estimators=200),
param_grid=tuned_parameters, cv=3, verbose=2)
grid.fit(X_train, y_train)
baggingModel = grid.best_estimator_
print("best mean cross-validation score: {:.3f}".format(grid.best_score_))
print("best parameters: {}".format(grid.best_params_))
print(f"\nTrain: {baggingModel.score(X_train,y_train)}")
print(f"Test: {baggingModel.score(X_test,y_test)}")
scores = np.array(grid.cv_results_['mean_test_score'])
plt.plot(maxDepth,scores,'-o')
plt.xlabel('max_depth')
plt.ylabel('10-fold ACC')
sns.despine(top=True, right=True, left=False, bottom=False)
plt.show()
Fitting 3 folds for each of 14 candidates, totalling 42 fits
[CV] END .............................estimator__max_depth=1; total time= 0.1s
[CV] END .............................estimator__max_depth=1; total time= 0.1s
[CV] END .............................estimator__max_depth=1; total time= 0.1s
[CV] END .............................estimator__max_depth=2; total time= 0.2s
[CV] END .............................estimator__max_depth=2; total time= 0.2s
[CV] END .............................estimator__max_depth=2; total time= 0.2s
[CV] END .............................estimator__max_depth=3; total time= 0.2s
[CV] END .............................estimator__max_depth=3; total time= 0.2s
[CV] END .............................estimator__max_depth=3; total time= 0.2s
[CV] END .............................estimator__max_depth=4; total time= 0.2s
[CV] END .............................estimator__max_depth=4; total time= 0.2s
[CV] END .............................estimator__max_depth=4; total time= 0.2s
[CV] END .............................estimator__max_depth=5; total time= 0.2s
[CV] END .............................estimator__max_depth=5; total time= 0.2s
[CV] END .............................estimator__max_depth=5; total time= 0.2s
[CV] END .............................estimator__max_depth=6; total time= 0.3s
[CV] END .............................estimator__max_depth=6; total time= 0.3s
[CV] END .............................estimator__max_depth=6; total time= 0.3s
[CV] END .............................estimator__max_depth=7; total time= 0.3s
[CV] END .............................estimator__max_depth=7; total time= 0.3s
[CV] END .............................estimator__max_depth=7; total time= 0.3s
[CV] END .............................estimator__max_depth=8; total time= 0.3s
[CV] END .............................estimator__max_depth=8; total time= 0.3s
[CV] END .............................estimator__max_depth=8; total time= 0.3s
[CV] END .............................estimator__max_depth=9; total time= 0.3s
[CV] END .............................estimator__max_depth=9; total time= 0.3s
[CV] END .............................estimator__max_depth=9; total time= 0.3s
[CV] END ............................estimator__max_depth=10; total time= 0.3s
[CV] END ............................estimator__max_depth=10; total time= 0.4s
[CV] END ............................estimator__max_depth=10; total time= 0.4s
[CV] END ............................estimator__max_depth=11; total time= 0.4s
[CV] END ............................estimator__max_depth=11; total time= 0.4s
[CV] END ............................estimator__max_depth=11; total time= 0.4s
[CV] END ............................estimator__max_depth=12; total time= 0.4s
[CV] END ............................estimator__max_depth=12; total time= 0.4s
[CV] END ............................estimator__max_depth=12; total time= 0.4s
[CV] END ............................estimator__max_depth=13; total time= 0.4s
[CV] END ............................estimator__max_depth=13; total time= 0.4s
[CV] END ............................estimator__max_depth=13; total time= 0.4s
[CV] END ............................estimator__max_depth=14; total time= 0.4s
[CV] END ............................estimator__max_depth=14; total time= 0.4s
[CV] END ............................estimator__max_depth=14; total time= 0.4s
best mean cross-validation score: 0.448
best parameters: {'estimator__max_depth': 14}
Train: 0.9259123012563196
Test: 0.44858598822823614
plot_feature_importances_bagging(baggingModel, X_train.columns, figsize=(10,12))
evaluate_model_reg(baggingModel,X_test, y_test, title="Bagging Regressor")
MAE: 7.3790 MSE: 97.4850 RMSE: 9.8730 R2: 0.4490
{'MAE': 7.379, 'MSE': 97.485, 'RMSE': 9.873, 'R2': 0.449}
columns = ['pace_walk', 'step rate_walk', 'footstrike type_walk', 'total force rate_walk',
'step length_walk', 'stance excursion (mp->to)_walk', 'imc']
maxDepth = range(1,15)
tuned_parameters = {'estimator__max_depth': maxDepth}
grid = GridSearchCV(
BaggingRegressor(estimator=DecisionTreeRegressor(), random_state=0, n_estimators=200),
param_grid=tuned_parameters, cv=3, verbose=2)
grid.fit(X_train[columns], y_train)
baggingModel_2 = grid.best_estimator_
print("best mean cross-validation score: {:.3f}".format(grid.best_score_))
print("best parameters: {}".format(grid.best_params_))
print(f"\nTrain: {baggingModel_2.score(X_train[columns],y_train)}")
print(f"Test: {baggingModel_2.score(X_test[columns],y_test)}")
scores = np.array(grid.cv_results_['mean_test_score'])
plt.plot(maxDepth,scores,'-o')
plt.xlabel('max_depth')
plt.ylabel('10-fold ACC')
sns.despine(top=True, right=True, left=False, bottom=False)
plt.show()
Fitting 3 folds for each of 14 candidates, totalling 42 fits
[CV] END .............................estimator__max_depth=1; total time= 0.1s
[CV] END .............................estimator__max_depth=1; total time= 0.1s
[CV] END .............................estimator__max_depth=1; total time= 0.1s
[CV] END .............................estimator__max_depth=2; total time= 0.1s
[CV] END .............................estimator__max_depth=2; total time= 0.1s
[CV] END .............................estimator__max_depth=2; total time= 0.1s
[CV] END .............................estimator__max_depth=3; total time= 0.1s
[CV] END .............................estimator__max_depth=3; total time= 0.1s
[CV] END .............................estimator__max_depth=3; total time= 0.1s
[CV] END .............................estimator__max_depth=4; total time= 0.1s
[CV] END .............................estimator__max_depth=4; total time= 0.1s
[CV] END .............................estimator__max_depth=4; total time= 0.1s
[CV] END .............................estimator__max_depth=5; total time= 0.2s
[CV] END .............................estimator__max_depth=5; total time= 0.2s
[CV] END .............................estimator__max_depth=5; total time= 0.2s
[CV] END .............................estimator__max_depth=6; total time= 0.2s
[CV] END .............................estimator__max_depth=6; total time= 0.2s
[CV] END .............................estimator__max_depth=6; total time= 0.2s
[CV] END .............................estimator__max_depth=7; total time= 0.2s
[CV] END .............................estimator__max_depth=7; total time= 0.2s
[CV] END .............................estimator__max_depth=7; total time= 0.2s
[CV] END .............................estimator__max_depth=8; total time= 0.2s
[CV] END .............................estimator__max_depth=8; total time= 0.2s
[CV] END .............................estimator__max_depth=8; total time= 0.2s
[CV] END .............................estimator__max_depth=9; total time= 0.2s
[CV] END .............................estimator__max_depth=9; total time= 0.2s
[CV] END .............................estimator__max_depth=9; total time= 0.2s
[CV] END ............................estimator__max_depth=10; total time= 0.2s
[CV] END ............................estimator__max_depth=10; total time= 0.2s
[CV] END ............................estimator__max_depth=10; total time= 0.2s
[CV] END ............................estimator__max_depth=11; total time= 0.2s
[CV] END ............................estimator__max_depth=11; total time= 0.2s
[CV] END ............................estimator__max_depth=11; total time= 0.2s
[CV] END ............................estimator__max_depth=12; total time= 0.2s
[CV] END ............................estimator__max_depth=12; total time= 0.2s
[CV] END ............................estimator__max_depth=12; total time= 0.2s
[CV] END ............................estimator__max_depth=13; total time= 0.2s
[CV] END ............................estimator__max_depth=13; total time= 0.2s
[CV] END ............................estimator__max_depth=13; total time= 0.2s
[CV] END ............................estimator__max_depth=14; total time= 0.2s
[CV] END ............................estimator__max_depth=14; total time= 0.2s
[CV] END ............................estimator__max_depth=14; total time= 0.2s
best mean cross-validation score: 0.447
best parameters: {'estimator__max_depth': 13}
Train: 0.9176815970409401
Test: 0.49426886496443323
evaluate_model_reg(baggingModel_2,X_test[columns], y_test, title="Bagging Regressor")
MAE: 7.1680 MSE: 89.4090 RMSE: 9.4560 R2: 0.4940
{'MAE': 7.168, 'MSE': 89.409, 'RMSE': 9.456, 'R2': 0.494}
# Curva de Aprendizaje
train_sizes, train_scores, valid_scores = learning_curve(
baggingModel_2, X_train[columns], y_train, train_sizes=np.linspace(0.01, 1.0, 40), cv=5,
scoring="neg_root_mean_squared_error")
train_errors = -train_scores.mean(axis=1)
valid_errors = -valid_scores.mean(axis=1)
plt.plot(train_sizes, train_errors, "r-+", linewidth=2, label="train")
plt.plot(train_sizes, valid_errors, "b-", linewidth=2, label="valid")
plt.xlabel('Tamaño del conjunto de entrenamiento')
plt.ylabel('RMSE')
plt.title('Curva de aprendizaje')
plt.legend()
sns.despine(top=True, right=True, left=False, bottom=False)
plt.show()
y_pred = baggingModel_2.predict(X_test[columns])
print("Comparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
print(f'Real: {real}, Predicho: {pred}')
Comparación de valores reales y predichos: Real: 29, Predicho: 28.78902724363164 Real: 35, Predicho: 27.40203257030282 Real: 35, Predicho: 42.66023458853238 Real: 29, Predicho: 30.19992916689276 Real: 27, Predicho: 38.778332679207594 Real: 75, Predicho: 62.43 Real: 59, Predicho: 52.5385046461507 Real: 27, Predicho: 37.69529850111199 Real: 61, Predicho: 48.25954867149758 Real: 19, Predicho: 33.656195157182
extra_trees = ExtraTreesRegressor(random_state=42) # Definición del modelo
# Definición del espacio de parámetros para RandomizedSearchCV
param_dist = {
'n_estimators': [100, 200, 300],
'max_depth': range(5, 15),
'min_samples_split': [2, 10, 20, 30],
'min_samples_leaf': [1, 4, 10, 15],
'max_features': ['auto', 'sqrt', 'log2']
}
# Configuración de RandomizedSearchCV
random_search = RandomizedSearchCV(extra_trees, param_distributions=param_dist,
n_iter=100, scoring='neg_mean_squared_error',
cv=10, verbose=2, random_state=42, n_jobs=-1)
random_search.fit(X_train, y_train)
# Mejores parámetros y mejor score encontrado
print("Best parameters:", random_search.best_params_)
print("Best cross-validation score (negative MSE):", random_search.best_score_)
et_model = random_search.best_estimator_ # Obtener el mejor modelo
predictions = et_model.predict(X_test) # Predicciones
# Métricas de rendimiento
print("Test MSE:", mean_squared_error(y_test, predictions))
print("Test R2:", r2_score(y_test, predictions))
Fitting 10 folds for each of 100 candidates, totalling 1000 fits
Best parameters: {'n_estimators': 200, 'min_samples_split': 2, 'min_samples_leaf': 1, 'max_features': 'log2', 'max_depth': 12}
Best cross-validation score (negative MSE): -103.1495523745162
Test MSE: 90.2179701638612
Test R2: 0.48969275360211717
print(f"Train: {et_model.score(X_train,y_train)}")
print(f"Test: {et_model.score(X_test,y_test)}\n")
evaluate_model_reg(et_model,X_test, y_test, title="Extra Trees")
Train: 0.8377363896948952 Test: 0.48969275360211717 MAE: 7.4220 MSE: 90.2180 RMSE: 9.4980 R2: 0.4900
{'MAE': 7.422, 'MSE': 90.218, 'RMSE': 9.498, 'R2': 0.49}
plot_feature_importance(et_model, X_train.columns, figsize=(10,12))
columns = ['peso', 'pace_walk', 'step rate_walk', 'stride length_walk', 'footstrike type_walk',
'total force rate_walk', 'stance excursion (mp->to)_walk', 'imc', 'step length_walk']
random_search.fit(X_train[columns], y_train)
# Mejores parámetros y mejor score encontrado
print("Best parameters:", random_search.best_params_)
print("Best cross-validation score (negative MSE):", random_search.best_score_)
et_model_2 = random_search.best_estimator_ # Obtener el mejor modelo
predictions = et_model_2.predict(X_test[columns]) # Predicciones
# Métricas de rendimiento
print("Test MSE:", mean_squared_error(y_test, predictions))
print("Test R2:", r2_score(y_test, predictions))
Fitting 10 folds for each of 100 candidates, totalling 1000 fits
Best parameters: {'n_estimators': 200, 'min_samples_split': 2, 'min_samples_leaf': 1, 'max_features': 'log2', 'max_depth': 12}
Best cross-validation score (negative MSE): -99.90171510716273
Test MSE: 82.21552929589849
Test R2: 0.5349576111063902
print(f"Train: {et_model_2.score(X_train[columns],y_train)}")
print(f"Test: {et_model_2.score(X_test[columns],y_test)}\n")
evaluate_model_reg(et_model_2,X_test[columns], y_test, title="Extra Trees")
Train: 0.8328797268992061 Test: 0.5349576111063902 MAE: 7.2670 MSE: 82.2160 RMSE: 9.0670 R2: 0.5350
{'MAE': 7.267, 'MSE': 82.216, 'RMSE': 9.067, 'R2': 0.535}
y_pred = et_model_2.predict(X_test[columns])
print("Comparación de valores reales y predichos:")
for real, pred in zip(y_test[:10], y_pred[:10]):
print(f'Real: {real}, Predicho: {pred}')
Comparación de valores reales y predichos: Real: 29, Predicho: 34.938003735841995 Real: 35, Predicho: 28.782103874152448 Real: 35, Predicho: 44.40529817132044 Real: 29, Predicho: 32.274647314561186 Real: 27, Predicho: 37.50579707459553 Real: 75, Predicho: 57.60453844187353 Real: 59, Predicho: 56.61607108317438 Real: 27, Predicho: 34.12505297248425 Real: 61, Predicho: 48.029634408126256 Real: 19, Predicho: 32.553082528626014
from sklearn.linear_model import ElasticNet
from sklearn.metrics import mean_squared_error, r2_score
# Configurar el modelo ElasticNet
elastic_net = ElasticNet(alpha=0.1, l1_ratio=0.5, random_state=42)
# Entrenar el modelo
elastic_net.fit(X_train, y_train)
# Evaluar el modelo
y_pred_en = elastic_net.predict(X_test)
print(f"ElasticNet MSE: {mean_squared_error(y_test, y_pred_en)}")
print(f"ElasticNet R2: {r2_score(y_test, y_pred_en)}\n")
print(f"Train: {elastic_net.score(X_train,y_train)}")
print(f"Test: {elastic_net.score(X_test,y_test)}\n")
evaluate_model_reg(elastic_net,X_test, y_test, title="ElasticNet")
ElasticNet MSE: 108.46294011684489 ElasticNet R2: 0.3864922453174744 Train: 0.38838191246105846 Test: 0.3864922453174744 MAE: 8.2870 MSE: 108.4630 RMSE: 10.4150 R2: 0.3860
{'MAE': 8.287, 'MSE': 108.463, 'RMSE': 10.415, 'R2': 0.386}
# Definir el rango de parámetros para ElasticNet
params_en = {
'alpha': [0.005, 0.01, 0.1, 0.5, 1, 2],
'l1_ratio': [0.2, 0.5, 0.8]
}
# Configurar GridSearchCV
grid_en = GridSearchCV(ElasticNet(random_state=42), params_en, cv=5, scoring='neg_mean_squared_error')
grid_en.fit(X_train, y_train)
elasticnet_model = grid_en.best_estimator_
# Mejores parámetros y score
print(f"Best parameters for ElasticNet: {grid_en.best_params_}")
print(f"Best score for ElasticNet: {-grid_en.best_score_}\n")
print(f"Train: {elasticnet_model.score(X_train,y_train)}")
print(f"Test: {elasticnet_model.score(X_test,y_test)}\n")
evaluate_model_reg(elasticnet_model, X_test, y_test, title="ElasticNet")
Best parameters for ElasticNet: {'alpha': 0.01, 'l1_ratio': 0.2}
Best score for ElasticNet: 119.69518997209795
Train: 0.3974444838716319
Test: 0.379231834038814
MAE: 8.3170
MSE: 109.7470
RMSE: 10.4760
R2: 0.3790
{'MAE': 8.317, 'MSE': 109.747, 'RMSE': 10.476, 'R2': 0.379}
from sklearn.kernel_ridge import KernelRidge
# Configurar el modelo Kernel Ridge
kernel_ridge = KernelRidge(alpha=1.0, kernel='polynomial', degree=2)
# Entrenar el modelo
kernel_ridge.fit(X_train, y_train)
# Evaluar el modelo
y_pred_kr = kernel_ridge.predict(X_test)
print("Kernel Ridge MSE:", mean_squared_error(y_test, y_pred_kr))
print("Kernel Ridge R2:", r2_score(y_test, y_pred_kr))
print(f"\nTrain: {kernel_ridge.score(X_train,y_train)}")
print(f"Test: {kernel_ridge.score(X_test,y_test)}\n")
evaluate_model_reg(kernel_ridge,X_test, y_test, title="Kernel Ridge")
Kernel Ridge MSE: 130.93820403400252 Kernel Ridge R2: 0.25936358103031576 Train: 0.5693897582396739 Test: 0.25936358103031576 MAE: 8.4980 MSE: 130.9380 RMSE: 11.4430 R2: 0.2590
{'MAE': 8.498, 'MSE': 130.938, 'RMSE': 11.443, 'R2': 0.259}
# Definir el rango de parámetros para Kernel Ridge
params_kr = {
'alpha': [0.1, 1, 10],
'kernel': ['polynomial', 'rbf'],
'degree': [2, 3, 4] # Solo aplicable si kernel es 'polynomial'
}
# Configurar GridSearchCV
grid_kr = GridSearchCV(KernelRidge(), params_kr, cv=5, scoring='neg_mean_squared_error')
grid_kr.fit(X_train, y_train)
kernel_ridge_2 = grid_kr.best_estimator_
# Mejores parámetros y score
print("Best parameters for Kernel Ridge:", grid_kr.best_params_)
print("Best score for Kernel Ridge:", -grid_kr.best_score_)
print(f"\nTrain: {kernel_ridge_2.score(X_train,y_train)}")
print(f"Test: {kernel_ridge_2.score(X_test,y_test)}\n")
evaluate_model_reg(kernel_ridge_2,X_test, y_test, title="Kernel Ridge")
Best parameters for Kernel Ridge: {'alpha': 10, 'degree': 2, 'kernel': 'polynomial'}
Best score for Kernel Ridge: 139.6511896211203
Train: 0.5335446789475764
Test: 0.32091494572363444
MAE: 8.3480
MSE: 120.0560
RMSE: 10.9570
R2: 0.3210
{'MAE': 8.348, 'MSE': 120.056, 'RMSE': 10.957, 'R2': 0.321}
import lightgbm as lgb
# Configurar el modelo LightGBM
lgbm_regressor = lgb.LGBMRegressor(num_leaves=31, learning_rate=0.05, n_estimators=100)
# Entrenar el modelo
lgbm_regressor.fit(X_train, y_train)
# Evaluar el modelo
y_pred_lgbm = lgbm_regressor.predict(X_test)
print("LightGBM MSE:", mean_squared_error(y_test, y_pred_lgbm))
print("LightGBM R2:", r2_score(y_test, y_pred_lgbm))
evaluate_model_reg(lgbm_regressor,X_test, y_test, title="LightGBM")
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines [LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000498 seconds. You can set `force_col_wise=true` to remove the overhead. [LightGBM] [Info] Total Bins 2971 [LightGBM] [Info] Number of data points in the train set: 573, number of used features: 18 [LightGBM] [Info] Start training from score 38.537522 [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: 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positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] No further splits with positive gain, best gain: 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{'MAE': 7.457, 'MSE': 95.989, 'RMSE': 9.797, 'R2': 0.457}
print(f"Train: {lgbm_regressor.score(X_train,y_train)}")
print(f"Test: {lgbm_regressor.score(X_test,y_test)}")
Train: 0.8974788781727983 Test: 0.4570493771862665
# Definir el rango de parámetros para LightGBM
params_lgbm = {
'num_leaves': [31, 50, 70],
'learning_rate': [0.01, 0.05, 0.1],
'n_estimators': [50, 100, 200]
}
# Configurar GridSearchCV
grid_lgbm = GridSearchCV(lgb.LGBMRegressor(random_state=42), params_lgbm, cv=5, scoring='neg_mean_squared_error')
grid_lgbm.fit(X_train, y_train)
lgbm_model = grid_lgbm.best_estimator_
# Mejores parámetros y score
print("Best parameters for LightGBM:", grid_lgbm.best_params_)
print("Best score for LightGBM:", -grid_lgbm.best_score_)
evaluate_model_reg(lgbm_model,X_test, y_test, title="LightGBM")
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000488 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000191 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000205 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000223 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000187 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000251 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000277 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000254 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000233 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000226 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000219 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000244 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000636 seconds.
You can set `force_row_wise=true` to remove the overhead.
And if memory is not enough, you can set `force_col_wise=true`.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000197 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000202 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000204 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000203 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000235 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000250 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000198 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000232 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000208 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000215 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000192 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000225 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000248 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000261 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000259 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000227 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000220 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000200 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000213 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000339 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000228 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000194 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000218 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000206 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000221 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000214 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000249 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000207 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000209 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000231 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000201 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000236 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000234 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000238 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000193 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000237 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000222 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000230 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000252 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000258 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000243 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2380
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.624454
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000217 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2382
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.484716
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000211 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2385
[LightGBM] [Info] Number of data points in the train set: 458, number of used features: 18
[LightGBM] [Info] Start training from score 38.344978
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000224 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 39.019608
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000239 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2394
[LightGBM] [Info] Number of data points in the train set: 459, number of used features: 18
[LightGBM] [Info] Start training from score 38.213508
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] Found whitespace in feature_names, replace with underlines
[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000216 seconds.
You can set `force_col_wise=true` to remove the overhead.
[LightGBM] [Info] Total Bins 2971
[LightGBM] [Info] Number of data points in the train set: 573, number of used features: 18
[LightGBM] [Info] Start training from score 38.537522
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
[LightGBM] [Warning] No further splits with positive gain, best gain: -inf
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Best parameters for LightGBM: {'learning_rate': 0.05, 'n_estimators': 200, 'num_leaves': 31}
Best score for LightGBM: 103.00215074148855
MAE: 6.8560
MSE: 90.5850
RMSE: 9.5180
R2: 0.4880
{'MAE': 6.856, 'MSE': 90.585, 'RMSE': 9.518, 'R2': 0.488}
print(f"Train: {lgbm_model.score(X_train,y_train)}")
print(f"Test: {lgbm_model.score(X_test,y_test)}\n")
Train: 0.9734573170546146 Test: 0.48761916970828056
import xgboost as xgb
# Configurar el modelo XGBoost
xgb_regressor = xgb.XGBRegressor(objective ='reg:squarederror', colsample_bytree = 0.3, learning_rate = 0.1,
max_depth = 5, alpha = 10, n_estimators = 100)
# Entrenar el modelo
xgb_regressor.fit(X_train, y_train)
# Evaluar el modelo
y_pred_xgb = xgb_regressor.predict(X_test)
print("XGB Regressor MSE:", mean_squared_error(y_test, y_pred_xgb))
print("XGB Regressor R2:", r2_score(y_test, y_pred_xgb))
print(f"\nTrain: {xgb_regressor.score(X_train,y_train)}")
print(f"Test: {xgb_regressor.score(X_test,y_test)}\n")
evaluate_model_reg(xgb_regressor, X_test, y_test, title="XGB Regressor")
XGB Regressor MSE: 93.93934164610442 XGB Regressor R2: 0.4686432572492515 Train: 0.9480204202582996 Test: 0.4686432572492515 MAE: 7.2840 MSE: 93.9390 RMSE: 9.6920 R2: 0.4690
{'MAE': 7.284, 'MSE': 93.939, 'RMSE': 9.692, 'R2': 0.469}
# Definir el rango de parámetros para XGBoost
params_xgb = {
'max_depth': [3, 5, 7],
'learning_rate': [0.01, 0.05, 0.1],
'n_estimators': [50, 100, 200],
'colsample_bytree': [0.3, 0.5, 0.7]
}
# Configurar GridSearchCV
grid_xgb = GridSearchCV(xgb.XGBRegressor(objective ='reg:squarederror', random_state=42), params_xgb, cv=5, scoring='neg_mean_squared_error')
grid_xgb.fit(X_train, y_train)
xgb_model = grid_xgb.best_estimator_
# Mejores parámetros y score
print("Best parameters for XGBoost:", grid_xgb.best_params_)
print("Best score for XGBoost:", -grid_xgb.best_score_)
print(f"\nTrain: {xgb_model.score(X_train,y_train)}")
print(f"Test: {xgb_model.score(X_test,y_test)}\n")
evaluate_model_reg(xgb_model,X_test, y_test, title="XGB Regressor")
Best parameters for XGBoost: {'colsample_bytree': 0.3, 'learning_rate': 0.05, 'max_depth': 7, 'n_estimators': 200}
Best score for XGBoost: 96.252236288979
Train: 0.9973961670929534
Test: 0.4631769052007956
MAE: 6.6280
MSE: 94.9060
RMSE: 9.7420
R2: 0.4630
{'MAE': 6.628, 'MSE': 94.906, 'RMSE': 9.742, 'R2': 0.463}
# Diccionario de modelos y sus correspondientes características
modelos = {
'Decision Tree 2': (dt_model_2, ['peso', 'braking gs_walk', 'footstrike type_walk', 'contact ratio_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (mp->to)_walk','stride length_walk', 'imc']),
'Random Forest 2': (rf_model_2, X_train.columns.tolist()),
'Random Forest 3': (rf_model_3, ['peso', 'pace_walk', 'step rate_walk', 'stride length_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc']),
'Gradient Boosting Regressor': (gbr_model, X_train.columns.tolist()),
'Gradient Boosting Regressor 2': (gbr_model_2, ['pace_walk', 'step rate_walk', 'braking gs_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc']),
'Gradient Boosting Regressor 3': (gbr_model_3, ['pace_walk', 'step rate_walk', 'braking gs_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc']),
'Bagging Regressor 2': (baggingModel_2, ['pace_walk', 'step rate_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (mp->to)_walk', 'imc']),
'Extra Trees 1': (et_model, X_train.columns.tolist()),
'Extra Trees 2': (et_model_2, ['peso', 'pace_walk', 'step rate_walk', 'stride length_walk', 'footstrike type_walk', 'total force rate_walk', 'stance excursion (mp->to)_walk', 'imc', 'step length_walk'])
}
# Preparar un DataFrame para almacenar los resultados
resultados = pd.DataFrame(columns=['Modelo', 'MAE', 'MSE', 'RMSE', 'R2'])
# Evaluar cada modelo con sus características correspondientes
for name, (model, columns) in modelos.items():
start_time = time.time()
X_train_selected = X_train[columns]
X_test_selected = X_test[columns]
modelo.fit(X_train_selected, y_train) # Entrenar el modelo
elapsed_time = round(time.time() - start_time, 3) # Calcular el tiempo transcurrido
y_pred = modelo.predict(X_test_selected)
mae = round(mean_absolute_error(y_test, y_pred), 3)
mse = round(mean_squared_error(y_test, y_pred), 3)
rmse = round(mse ** 0.5, 3)
r2 = round(r2_score(y_test, y_pred), 3)
resultados_df = pd.DataFrame({
'Modelo': [name],
'MAE': [mae],
'MSE': [mse],
'RMSE': [rmse],
'R2': [r2],
'Tiempo de entrenamiento (s)': elapsed_time
})
print(f"{name} - Train: {model.score(X_train[columns], y_train)}")
print(f"{name} - Test: {model.score(X_test[columns], y_test)}\n")
resultados = pd.concat([resultados, resultados_df], ignore_index=True)
resultados.sort_values(by=['R2', 'Tiempo de entrenamiento (s)'], ascending=[False, True], inplace=True)
print(resultados)
Decision Tree 2 - Train: 0.40006471949444344
Decision Tree 2 - Test: 0.19060473974886327
Random Forest 2 - Train: 0.9033705451187493
Random Forest 2 - Test: 0.49033077147973125
Random Forest 3 - Train: 0.911420142647305
Random Forest 3 - Test: 0.5095984277504668
Gradient Boosting Regressor - Train: 0.9515814811569567
Gradient Boosting Regressor - Test: 0.3800798320539087
Gradient Boosting Regressor 2 - Train: 0.9841659511012273
Gradient Boosting Regressor 2 - Test: 0.42683946430327424
Gradient Boosting Regressor 3 - Train: 0.9885997671496616
Gradient Boosting Regressor 3 - Test: 0.46768601112651975
Bagging Regressor 2 - Train: 0.9176815970409401
Bagging Regressor 2 - Test: 0.49426886496443323
Extra Trees 1 - Train: 0.8377363896948952
Extra Trees 1 - Test: 0.48969275360211717
Extra Trees 2 - Train: 0.8328797268992061
Extra Trees 2 - Test: 0.5349576111063902
Modelo MAE MSE RMSE R2 \
8 Extra Trees 2 7.267 82.216 9.067 0.535
2 Random Forest 3 7.235 83.805 9.155 0.526
0 Decision Tree 2 7.297 85.617 9.253 0.516
4 Gradient Boosting Regressor 2 7.336 85.913 9.269 0.514
5 Gradient Boosting Regressor 3 7.336 85.913 9.269 0.514
6 Bagging Regressor 2 7.526 87.784 9.369 0.503
1 Random Forest 2 7.422 90.218 9.498 0.490
3 Gradient Boosting Regressor 7.422 90.218 9.498 0.490
7 Extra Trees 1 7.422 90.218 9.498 0.490
Tiempo de entrenamiento (s)
8 0.062
2 0.061
0 0.087
4 0.062
5 0.062
6 0.054
1 0.066
3 0.068
7 0.068
Mejor Desempeño General: El modelo Extra Trees 2 presenta el mejor equilibrio entre las métricas evaluadas, alcanzando el menor MSE y RMSE, y el mayor R² (0.535), indicando que es capaz de explicar aproximadamente el 53.5% de la variabilidad en los datos. Esto sugiere una buena capacidad de generalización y eficacia en la captura de la complejidad de los datos.
Comparación con Otros Modelos:
0.510. Esto indica que los enfoques basados en árboles son particularmente efectivos para este conjunto de datos.Desempeño del Decision Tree:
Estrategias de Ensamblaje Ajustadas: Los ensayos confirmaron la fortaleza de los métodos de ensamble como Extra Trees y Random Forest, destacando su robustez y precisión. A pesar de dedicar un día entero a la optimización de hiperparámetros, se reconoce que existe margen para mejoras futuras. Por ahora, se decidió avanzar, pero se planea regresar a este punto para refinar aún más estos modelos a medida que los plazos del proyecto lo permitan.
Análisis Riguroso de Características: La selección de características para cada modelo se basó en un análisis detallado de su importancia. Este enfoque ha permitido enfocar los modelos en las variables más influyentes, optimizando así la eficiencia sin sacrificar el rendimiento.
Evaluación Preliminar y Pruebas Adicionales: Además de las pruebas iniciales, se contempla realizar evaluaciones adicionales con nuevos conjuntos de datos o en escenarios externos para validar la robustez de los modelos, especialmente del modelo Extra Trees 2, que mostró un excelente balance entre precisión y generalización.
Gestión de Recursos Computacionales: Aunque en las pruebas actuales no se notaron tiempos de ejecución excesivos, se evaluarán los costos computacionales de entrenamiento de cada modelo para asegurar que su implementación sea viable en producción. Esta evaluación ayudará a identificar modelos que, aunque precisos, podrían requerir una inversión desproporcionada de recursos.
Patrones y Columnas Comunes: Los análisis indicaron que ciertas características como 'pace_walk', 'step rate_walk', 'stride length_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', y 'imc' son recurrentemente utilizadas debido a su alta predictibilidad. La repetida selección de estas variables sugiere que encierran elementos fundamentales de los datos que son cruciales para la modelización eficaz.
Stacking implica combinar las predicciones de múltiples modelos de regresión mediante un meta-modelo que aprende a optimizar la combinación basada en el rendimiento de los modelos base.
# Características de cada modelo
features_dt_model_2 = set(['peso', 'braking gs_walk', 'footstrike type_walk', 'contact ratio_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (mp->to)_walk','stride length_walk', 'imc'])
features_rf_model_3 = set(['peso', 'pace_walk', 'step rate_walk', 'stride length_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc'])
features_gbr_model_3 = set(['pace_walk', 'step rate_walk', 'braking gs_walk', 'footstrike type_walk', 'total force rate_walk', 'step length_walk', 'stance excursion (fs->mp)_walk', 'stance excursion (mp->to)_walk', 'imc'])
# Características comunes a todos los modelos
common_features = features_dt_model_2 & features_rf_model_3 & features_gbr_model_3
# Características únicas para cada modelo
unique_dt_model_2 = features_dt_model_2 - (features_rf_model_3 | features_gbr_model_3)
unique_rf_model_3 = features_rf_model_3 - (features_dt_model_2 | features_gbr_model_3)
unique_gbr_model_3 = features_gbr_model_3 - (features_dt_model_2 | features_rf_model_3)
print("Características comunes:", common_features)
print("Características únicas para dt_model_2:", unique_dt_model_2)
print("Características únicas para rf_model_3:", unique_rf_model_3)
print("Características únicas para gbr_model_3:", unique_gbr_model_3)
Características comunes: {'step length_walk', 'total force rate_walk', 'footstrike type_walk', 'stance excursion (mp->to)_walk', 'imc'}
Características únicas para dt_model_2: {'contact ratio_walk'}
Características únicas para rf_model_3: set()
Características únicas para gbr_model_3: set()
# Características comunes identificadas
common_features = ['step length_walk','total force rate_walk','footstrike type_walk','stance excursion (mp->to)_walk','imc']
# Crear el Stacking Regressor
stacking_regressor = StackingRegressor(
estimators=[
('et', et_model_2),
('rf', rf_model_3),
('gbr', gbr_model_3)
],
final_estimator=LinearRegression(),
cv=5
)
# Entrenar el Stacking Regressor usando solo las características comunes
stacking_regressor.fit(X_train[common_features], y_train)
# Evaluar el modelo en el conjunto de test
score = stacking_regressor.score(X_test[common_features], y_test)
y_pred = stacking_regressor.predict(X_test[common_features])
print(f"Score del Stacking Regressor: {score}\n")
print(f"MAE: {round(mean_absolute_error(y_test, y_pred), 3)}")
print(f"MSE: {round(mean_squared_error(y_test, y_pred), 3)}")
print(f"RMSE: {round(mse ** 0.5, 3)}")
print(f"R2: {round(r2_score(y_test, y_pred), 3)}")
Score del Stacking Regressor: 0.5536440316619045 MAE: 6.762 MSE: 78.912 RMSE: 9.067 R2: 0.554
Es un enfoque de ensamblaje que hace predicciones basadas en la media de varios modelos de regresión
voting_regressor = VotingRegressor(
estimators=[
('et', et_model_2),
('rf', rf_model_3),
('gbr', gbr_model_3)
],
weights=[1, 1, 1] # Ajustar los pesos si algunos modelos son consistentemente mejores
)
# Entrenar el Voting Regressor usando solo las características comunes
voting_regressor.fit(X_train[common_features], y_train)
# Evaluar el modelo en el conjunto de test
voting_score = voting_regressor.score(X_test[common_features], y_test)
y_pred = voting_regressor.predict(X_test[common_features])
print(f"Score del Voting Regressor: {voting_score}\n")
print(f"MAE: {round(mean_absolute_error(y_test, y_pred), 3)}")
print(f"MSE: {round(mean_squared_error(y_test, y_pred), 3)}")
print(f"RMSE: {round(mse ** 0.5, 3)}")
print(f"R2: {round(r2_score(y_test, y_pred), 3)}")
Score del Voting Regressor: 0.524033880422744 MAE: 7.02 MSE: 84.147 RMSE: 9.067 R2: 0.524
# Definición de modelos
voting_reg = VotingRegressor(
estimators=[
('random_forest', RandomForestRegressor(n_estimators=100, random_state=42)),
('gradient_boosting', GradientBoostingRegressor(n_estimators=100, random_state=42)),
('extra_trees', ExtraTreesRegressor(n_estimators=100, random_state=42))
],
weights=[1, 1, 2]
)
voting_reg.fit(X_train, y_train)
y_pred = voting_reg.predict(X_test)
print(f'Score del Voting Regressor: {voting_reg.score(X_test, y_test)}\n')
print(f"MAE: {round(mean_absolute_error(y_test, y_pred), 3)}")
print(f"MSE: {round(mean_squared_error(y_test, y_pred), 3)}")
print(f"RMSE: {round(mse ** 0.5, 3)}")
print(f"R2: {round(r2_score(y_test, y_pred), 3)}")
Score del Voting Regressor: 0.5340558395913553 MAE: 6.636 MSE: 82.375 RMSE: 9.067 R2: 0.534